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machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will
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machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will
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machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associates will
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prototyping techniques, including 3D printing. • Experience developing artificial intelligence and machine learning methods for research applications. • Proficiency in programming languages commonly used for
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prototyping techniques, including 3D printing. • Experience developing artificial intelligence and machine learning methods for research applications. • Proficiency in programming languages commonly used for
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(thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will participate in designing the project according to the
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Imaging (HSI), Artificial Intelligence (AI) and Tiny Machine Learning (TinyML). Duties As a Postdoctoral researcher you are expected to perform both experimental and theoretical work within your
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design to implementation and commissioning Knowledge of machine learning or reinforcement learning applied to control systems is a strong asset Experience with accelerator technology, specifically
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join a new initiative focused on designing and developing a machine perfusion system to improve organ preservation. The candidate will work in a dynamic, multidisciplinary environment alongside PhD
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., constructs, sequences, models, and biophysical data (LIMS) Assisting in the development of new predictive models based on the gathered experimental and computational data using machine learning methods